Senior Data Engineer – AI Infrastructure & Agentic Systems

Senior Data Engineer – AI Infrastructure & Agentic Systems • Must be able to drive to Jacksonville, FL when needed Description Senior-level engineer providing hands-on architecture, development, and technical leadership across AI, cloud, and data initiatives. This role requires deep technical expertise in modern AI infrastructure, agentic systems, and cloud architecture, with a strong commitment to hands-on coding and implementation — not purely design/architecture. Essential Functions • Design and implement AI solutions using agentic patterns and core AI components • Design and develop scalable systems across AWS and on-premises environments • Actively code and contribute to production AI systems • Lead Snowflake migration: data migration, services migration, fast-access database migration, and enterprise service integrations • Lead centralized data classification, GW Chat integration, agentic application development, member longitudinal summary work, vulnerability remediation automation, and legacy modernization • Mentor and guide development teams on AI best practices • Evaluate and integrate emerging AI technologies and frameworks • Provide deep technical guidance on the Cloudera Data Platform ecosystem — supporting current workloads, modernization planning, and migration readiness Required Skills/Tools • AWS AI/ML services: EC2, Lambda, SageMaker (or equivalent) • Agentic systems: proven experience building/deploying agent-based architectures • MCP (Model Context Protocol): on-premises and cloud implementations • Agentic patterns: multi-agent systems, orchestration, tool integration • Core AI components: LLMs, embeddings, vector databases, retrieval systems, prompt engineering • Production deployment experience (dev → production for AI systems) • Java, Python, Node, React • Snowflake (migration experience required) • Cloudera Data Platform, DB2, Fast Access Databases • DBT, MongoDB, PostgreSQL, Iceberg tables, Dell Boomi Preferred • Hybrid cloud architecture (AWS + on-premises) • Containerization/orchestration (Docker, Kubernetes) • CI/CD pipelines for AI/ML workloads Experience 5+ years professional experience in technical design and coding; senior-level architecture experience across data/cloud/AI initiatives Education Related Bachelor's degree or equivalent work experience Work Environment Hybrid — schedule determined by role requirements/business needs. Occasional travel to corporate/regional offices may be required. Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at www.consultnet.com . We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.